At first glance, the Persevere database looks like most of the others. You push pairs of keys and values into it, and it stores them away. But that’s just the beginning. Persevere provides a well-established hierarchy for objects that makes it possible to add much more structure to your database, giving it much of the form that we traditionally associate with the last generation of databases. Persevere is more of a back-end storage facility for JavaScript objects created by AJAX toolkits like Dojo, a detail that makes sense given that some of the principal developers work for SitePen, a consulting group with a core group of Dojo devotees.
Posts Tagged ‘Persevere’
Slacker Databases Break All The Rules
Tuesday, March 24th, 2009Managing Server Structures in Persevere
Thursday, January 15th, 2009Persevere’s latest release includes new functionality for creating clean, organized application directory structures, complete with a testing framework. Persevere now has an improved set of command-line options including a server generator, which makes it easy to build an application server directory that can be version controlled separately from the Persevere core files. The new server structure also includes a mechanism for building unit tests for Persevere.
Easy Exploration of Dojo Data Stores
Wednesday, January 14th, 2009Dojo 1.3 includes a new tool for working with data stores. The Dojo data API is a pervasive part of Dojo; there are a variety important widgets that use the API and numerous data stores that implement the API. However, often data stores are only accessible through the application that is being built, and developers are dependent on working UIs (that are constantly under development) for store interaction. The StoreExplorer is a new development tool built by Ben Hockey and I, designed to debug and interact directly with data stores to make it easier to understand the data provided by the stores, directly interact with that data, and thereby pinpoint issues in the widget-store stack.
Getting Started with Persevere Using Dojo
Wednesday, July 23rd, 2008The Persevere server is an open source JSON application and storage server. Persevere pairs well with Dojo; the Dojo Data paradigm has a strong correlation to Persevere’s data storage structure. Virtually everything you can create or action you can perform with Dojo Data can be persisted in Persevere’s data storage including subobjects, arrays, circular references, and functions. Combining Persevere with Dojo allows you to rapidly develop simple database applications with create, read, update, and delete (CRUD) capabilities with minimal effort.
Client/Server Model on the Web
Friday, July 18th, 2008Prior to the popularity of the web, client/server applications often involved the creation of native applications which were deployed to clients. In this model, developers had a great deal of freedom in determining which parts of the entire client/server application would be in the client and which in the server. Consequently, very mature models for client/server development emerged, and often well designed optimal distribution of processing and logic could be achieved. When the web took off, the client was no longer a viable application platform, it was really more of a document viewer. Consequently the user interface logic existed almost entirely on the server. However, the web has matured substantially and has proven itself to be a reasonable application platform. We can once again start utilizing more efficient and well-structured client/server model design. There are certainly still technical issues, but we are in a position to better to build true client/server applications now.
JSONQuery: Data Querying Beyond JSONPath
Wednesday, July 16th, 2008A new data querying tool for has been added to Dojo 1.2. JSONQuery is a new module intended to succeed and improve upon the JSONPath module introduced in Dojo 1.1. JSONQuery provides a comprehensive set of data querying tools including filtering, recursive search, sorting, mapping, range selection, and flexible expressions with wildcard string comparisons and various operators.
JSONQuery provides safe evaluation with language agnostic expressions that prevents arbitrary code execution. It also uses intuitive result-based evaluation that allows successive query operations. Furthermore, the new JSONQuery module provides significant performance improvements, with 20-100x faster execution with the common filter operation on large arrays than the JSONPath module. JSONQuery generally supersets the functionality of JSONPath and provides syntax that matches and behaves like JavaScript where the syntax intersects for maximum ease of use.
Follow Us
Subscribe